{"id":"https://openalex.org/W3196621835","doi":"https://doi.org/10.18293/seke2021-023","title":"How MOOC Videos Affect Dropout? A Lightweight Pipeline Making Student Dropout Interpretable From Several Levels","display_name":"How MOOC Videos Affect Dropout? A Lightweight Pipeline Making Student Dropout Interpretable From Several Levels","publication_year":2021,"publication_date":"2021-07-04","ids":{"openalex":"https://openalex.org/W3196621835","doi":"https://doi.org/10.18293/seke2021-023","mag":"3196621835"},"language":"en","primary_location":{"id":"doi:10.18293/seke2021-023","is_oa":true,"landing_page_url":"http://doi.org/10.18293/seke2021-023","pdf_url":"https://doi.org/10.18293/seke2021-023","source":{"id":"https://openalex.org/S4220650826","display_name":"Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering","issn_l":"2325-9000","issn":["2325-9000","2325-9086"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conferences on Software Engineering and Knowledge Engineering","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://doi.org/10.18293/seke2021-023","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079501434","display_name":"Deming Sheng","orcid":"https://orcid.org/0000-0002-4945-4025"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Deming Sheng","raw_affiliation_strings":["School of Computer Science and Technology, Wuhan University of Technology, Wuhan 430070, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Wuhan University of Technology, Wuhan 430070, China","institution_ids":["https://openalex.org/I196699116"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5079501434"],"corresponding_institution_ids":["https://openalex.org/I196699116"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13597396,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2021","issue":null,"first_page":"189","last_page":"194"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.9495999813079834,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11283","display_name":"Experimental Learning in Engineering","score":0.9358999729156494,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/dropout","display_name":"Dropout (neural networks)","score":0.9668306708335876},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.7632153630256653},{"id":"https://openalex.org/keywords/affect","display_name":"Affect (linguistics)","score":0.6952034831047058},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5837637782096863},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3587803244590759},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.28986498713493347},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2528691291809082}],"concepts":[{"id":"https://openalex.org/C2776145597","wikidata":"https://www.wikidata.org/wiki/Q25339462","display_name":"Dropout (neural networks)","level":2,"score":0.9668306708335876},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.7632153630256653},{"id":"https://openalex.org/C2776035688","wikidata":"https://www.wikidata.org/wiki/Q1606558","display_name":"Affect (linguistics)","level":2,"score":0.6952034831047058},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5837637782096863},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3587803244590759},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28986498713493347},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2528691291809082},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18293/seke2021-023","is_oa":true,"landing_page_url":"http://doi.org/10.18293/seke2021-023","pdf_url":"https://doi.org/10.18293/seke2021-023","source":{"id":"https://openalex.org/S4220650826","display_name":"Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering","issn_l":"2325-9000","issn":["2325-9000","2325-9086"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conferences on Software Engineering and Knowledge Engineering","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18293/seke2021-023","is_oa":true,"landing_page_url":"http://doi.org/10.18293/seke2021-023","pdf_url":"https://doi.org/10.18293/seke2021-023","source":{"id":"https://openalex.org/S4220650826","display_name":"Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering","issn_l":"2325-9000","issn":["2325-9000","2325-9086"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conferences on Software Engineering and Knowledge Engineering","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3196621835.pdf","grobid_xml":"https://content.openalex.org/works/W3196621835.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W1988135745","https://openalex.org/W2250880511","https://openalex.org/W2546314413","https://openalex.org/W2735315095","https://openalex.org/W2746773844","https://openalex.org/W2754427584","https://openalex.org/W2787046717","https://openalex.org/W2905464284","https://openalex.org/W6744083665","https://openalex.org/W6756969638"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W3082178636","https://openalex.org/W1521968289","https://openalex.org/W2782041652","https://openalex.org/W2952088488","https://openalex.org/W2392157706","https://openalex.org/W2599192953","https://openalex.org/W2792147139","https://openalex.org/W2612657834"],"abstract_inverted_index":{"Massive":[0],"Online":[1],"Open":[2],"Courses":[3],"(MOOC)":[4],"have":[5,40,146],"popularized":[6],"educational":[7],"opportunities":[8],"for":[9,100],"students":[10,129,140],"all":[11],"over":[12],"the":[13,33,69,74,83,89,103,143,152,158,164,172,189],"world,":[14],"while":[15,137,157],"immensely":[16],"high":[17,41,45],"dropout":[18,29,71],"is":[19,57],"becoming":[20],"a":[21,55,64,134,138,147],"central":[22],"challenge":[23],"nowadays.":[24],"Most":[25,128],"researches":[26],"predict":[27],"course":[28,169],"labels":[30],"through":[31],"analyzing":[32],"student":[34,56,79,105,192],"engagement":[35],"data.":[36,193],"However,":[37],"these":[38],"models":[39],"structural":[42],"complexity":[43],"with":[44,97,133,184],"time":[46,187],"cost":[47],"and":[48,85,111,121,181],"cannot":[49],"provide":[50],"in-depth":[51],"insights":[52,110],"into":[53],"why":[54],"likely":[58],"to":[59,67,77,166],"drop":[60,167],"out.":[61],"We":[62],"devise":[63],"lightweight":[65],"pipeline":[66,175],"simplify":[68],"MOOC":[70,131],"problem,":[72],"grasp":[73],"core":[75],"features":[76],"make":[78],"behaviours":[80],"interpretable":[81],"at":[82],"model":[84],"instance":[86],"level,":[87],"visualize":[88],"changing":[90],"trend":[91],"of":[92,154,160],"predicted":[93],"label":[94],"probability":[95],"estimation":[96],"feature":[98],"values":[99],"longitudinally":[101],"interpreting":[102],"sample":[104,191],"behaviours.":[106],"Based":[107],"on":[108,188],"qualitative":[109],"quantitative":[112],"analysis,":[113],"our":[114,174],"main":[115],"findings":[116],"are":[117,125],"that":[118],"shorter":[119],"videos":[120,161],"instructors":[122],"speak":[123],"fast":[124],"more":[126],"engaging.":[127],"complete":[130],"learning":[132],"rapid":[135],"speed,":[136],"few":[139],"who":[141],"watch":[142],"video":[144],"slowly":[145],"higher":[148],"completion":[149],"rate.":[150],"When":[151],"frequency":[153],"fast-forwarding":[155],"increases":[156],"percentage":[159],"watching":[162],"decreases,":[163],"likelihood":[165],"this":[168],"raises.":[170],"In":[171],"end,":[173],"achieves":[176],"69.52%":[177],"AUC,":[178],"0.744":[179],"R-squared":[180,183],"0.553":[182],"0.982s":[185],"inference":[186],"20238":[190]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}